--- title: "Kechi Zhang · Peking University — author profile and papers" description: "Kechi Zhang, Peking University: 4 papers on Elamur Research (2023–2026), h-index 9 — affiliations, topics, co-authors and who cites them…" canonical: "https://research.elamur.ai/free/en/authors/kechi-zhang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/kechi-zhang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Kechi Zhang # Kechi Zhang Kechi Zhang has 4 papers in our library, in 2023–2026, most of them on [Code & programming languages](https://md.research.elamur.ai/free/en/topics/code-and-programming/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Zhi Jin](https://md.research.elamur.ai/free/en/authors/zhi-jin/), [Ge Li](https://md.research.elamur.ai/free/en/authors/ge-li/), [Jia Li](https://md.research.elamur.ai/free/en/authors/jia-li/). 4 papers in our library · 2023–2026 [OpenAlex](https://openalex.org/A5069561378) · [ORCID](https://orcid.org/0000-0002-3290-0244) · [Wikidata](https://www.wikidata.org/wiki/Q130826450) · [**h-index 9**](https://openalex.org/authors/A5069561378) · [34 works](https://openalex.org/works?filter=author.id:A5069561378) · [345 citations](https://openalex.org/works?filter=author.id:A5069561378&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/kechi-zhang/#papers) · [🔗 Cited 123 times in our library](https://md.research.elamur.ai/free/en/authors/kechi-zhang/cited-by/) · [⭐ Paper Stars ranking: #5704](https://md.research.elamur.ai/free/en/paper-stars/page/58/#star-5704) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Kechi+Zhang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Kechi+Zhang) · [dblp](https://dblp.org/search?q=Kechi+Zhang) · [ACL Anthology](https://aclanthology.org/search/?q=Kechi+Zhang) ## Affiliations [🎓**Peking University** Beijing · China 2020–2026 · 30 papers*current*](https://md.research.elamur.ai/free/en/universities/peking-university/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 7 The field of science this work belongs to (OpenAlex fields).[Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Information Systems · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Software · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/software/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science Applications · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-science-applications/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 2 Research subjects and languages the work is about.[Code & programming languages · 3 works](https://md.research.elamur.ai/free/en/topics/code-and-programming/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/kechi-zhang/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/kechi-zhang/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/kechi-zhang/year/2024/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/kechi-zhang/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[CodeAgent: Enhancing Code Generation with Tool-Integrated Agent Systems for Real-World Repo-level Coding Challenges](https://md.research.elamur.ai/free/en/papers/zhang-2024-codeagent-enhancing-code-generation-tool/)** *(2024 · 150 citations)* Most LLM code generation research targets short, self-contained snippets. Real projects differ: most functions depend on other code in the same repository, its documentation and its runtime setup. The authors formalize a repo-level code generation task whose input combines documentation, contextual dependencies… 2. **[Self-Edit: Fault-Aware Code Editor for Code Generation](https://md.research.elamur.ai/free/en/papers/zhang-2023-self-edit-fault-aware-code/)** *(2023 · 105 citations)* Large language models still solve few competitive programming problems when only one submission per task is allowed. For example, GPT3 reaches roughly 7% pass@1 on APPS-test. The authors propose Self-Edit, a generate-and-edit pipeline modeled on how human programmers debug. 3. **[CodeDPO: Aligning Code Models with Self Generated and Verified Source Code](https://md.research.elamur.ai/free/en/papers/zhang-2025-codedpo-aligning-code-models-self/)** *(2025 · 20 citations)* Supervised fine-tuning helps code LLMs, but it does not reliably teach them to favor correct programs over flawed ones. It also does nothing to reward faster code. CodeDPO addresses both gaps with preference learning. 4. **[RL-PLUS: Countering Capability Boundary Collapse of LLMs in Reinforcement Learning with Hybrid-policy Optimization](https://md.research.elamur.ai/free/en/papers/dong-2026-rl-plus-countering-capability-boundary/)** *(2026 · 6 citations)* RL-PLUS targets a known weakness of Reinforcement Learning with Verifiable Reward (RLVR). Standard on-policy training such as GRPO raises pass@1 but often lowers pass@k at large k. In other words, the tuned model solves fewer distinct problems than its base model, which the authors call capability boundary collapse.… ## Co-authors here 12 of 15 co-authors with a page, the most papers together first. - [Zhi Jin](https://md.research.elamur.ai/free/en/authors/zhi-jin/) ×4 - [Ge Li](https://md.research.elamur.ai/free/en/authors/ge-li/) ×3 - [Jia Li](https://md.research.elamur.ai/free/en/authors/jia-li/) ×2 - [Yihong Dong](https://md.research.elamur.ai/free/en/authors/yihong-dong/) ×2 - [Binhua Li](https://md.research.elamur.ai/free/en/authors/binhua-li/) - [Fei Huang](https://md.research.elamur.ai/free/en/authors/fei-huang/) - [Jing Su](https://md.research.elamur.ai/free/en/authors/jing-su/) - [Jingjing Xu](https://md.research.elamur.ai/free/en/authors/jingjing-xu/) - [Jun Zhang](https://md.research.elamur.ai/free/en/authors/jun-zhang/) - [Lili Mou](https://md.research.elamur.ai/free/en/authors/lili-mou/) - [Rongyu Cao](https://md.research.elamur.ai/free/en/authors/rongyu-cao/) - [Xue Jiang](https://md.research.elamur.ai/free/en/authors/xue-jiang/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/) ×4: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/), [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/), [ACL 2024](https://md.research.elamur.ai/free/en/venues/acl/2024/), [ACL 2023](https://md.research.elamur.ai/free/en/venues/acl/2023/) ## Cited by Papers of our library cite their works 123 times (of the 149,439 papers whose bibliographies we read); [40 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/kechi-zhang/cited-by/). Updated 2 November 2026